SafeSpot

About Us:

AI order taker for drive-thrus. Built for scale.

The company is a reliable AI order taker for drive-thrus, purpose-built for high-volume

QSRs. It helps brands consistently deliver faster, error-free service with over 93% order

completion and 96% accuracy, at scale.

With full control over scripts, upsells, and voice, brands can fine-tune drive-thru

operational performance across all locations. At the same time, franchisees get the

flexibility to adjust menus, LTOs, and regional offers. And with a built-in labor

optimization process, Product reduces employee stress and turnover, saving hours of

labor each day and improving the guest experience.

Growing quickly, The company has the largest number of voice AI drive-thru restaurant

deployments, competing directly with both big tech and restaurant tech players.

We are seeking a senior backend engineer to join our AI implementation team.

About the role:
Our backend is developed all in Python running in the cloud over k8s. It's not a typical

backend interacting with a UI frontend, handling audio streams in real-time. Our

systems integrate with a large number of third party services. Because of the myriad of

challenges and the fast pace of a startup, each team member gets to experience a lot of

professional growth and ownership.

In this role, you will:

• Design, implement and integrate configurable conversational pipelines for various order-taking scenarios.
• Work hand in hand with the ML engineers and integrate Generative AI based pipelines into production.
• Triage and analyze production AI performance issues.
• Debug complex conversational flow scenarios.
• Own and maintain data analysis pipelines and tools.
• Implement and maintain infrastructure for automated tests of all AI related pipelines ensuring stability and accuracy.
• Step by step, take ownership of different components of the pipeline.

Qualifications:

• BSc in Software Development or equivalent industry experience
• 4+ years experience in Python
• 2+ years of hands-on work experience in the Data Science / ML industry.
• Strong backend development and software architecture skills
• Strong data analysis skills
• Experience in developing and deploying multiple projects used in production
• Prior experience working in startups.
• Qualities: Star performer, Team player, Fast, Strong ownership, Passionate about their work, Great communicator

Bonus:

• Experience with conversational AI applications.
• Knowledge of concurrency.